Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

Code intelligence leverages machine learning techniques to extract knowledge from
extensive code corpora, with the aim of developing intelligent tools to improve the quality …

Developers often need to search for appropriate APIs for their programming tasks. Although
most libraries have API reference documentation, it is not easy to find appropriate APIs due …

Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …

We advocate for a paradigm shift in supporting the information needs of developers,
centered around the concept of automated on-demand developer documentation. Currently …

API documentation provides important knowledge about the functionality and usage of APIs.
In this paper, we focus on API caveats that developers should be aware of in order to avoid …

Modern software development communities are increasingly social. Popular chat platforms
such as Slack host public chat communities that focus on specific development topics such …

Manual debugging is notoriously tedious and time-consuming. Therefore, various
automated fault localization techniques have been proposed to help with manual …

The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …

Source code summaries are concise representations, in form of text and/or code, of complex
code elements and are meant to help developers gain a quick understanding that in turns …